RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images
As a prerequisite for cell detection, cell classification, and cancer grading, nuclei segmentation in histology images has attracted wide attention in recent years. It is quite a challenging task due to the diversity in staining procedure, cell morphology, and cell arrangement between different hist...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8632907/ |